{
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   "cell_type": "code",
   "id": "initial_id",
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    "ExecuteTime": {
     "end_time": "2024-05-22T16:06:30.497887Z",
     "start_time": "2024-05-22T16:06:30.487255Z"
    }
   },
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ],
   "outputs": [],
   "execution_count": 80
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T16:08:53.299347Z",
     "start_time": "2024-05-22T16:08:53.277226Z"
    }
   },
   "cell_type": "code",
   "source": "plt.rcParams['font.family'] = ['Microsoft YaHei']",
   "id": "6d96d94130496f4e",
   "outputs": [],
   "execution_count": 85
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T15:17:20.257735Z",
     "start_time": "2024-05-22T15:17:20.225249Z"
    }
   },
   "cell_type": "code",
   "source": [
    "movies = pd.read_csv(\"./movies.csv\")\n",
    "movies"
   ],
   "id": "5aa7a3bbc5242f25",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "     area     category  director  rate   review      title  year\n",
       "0      美国        犯罪,剧情  弗兰克·德拉邦特   9.7  3022995     肖申克的救赎  1994\n",
       "1    中国大陆     剧情,爱情,同性       陈凯歌   9.6  2234573       霸王别姬  1993\n",
       "2      美国        剧情,爱情  罗伯特·泽米吉斯   9.5  2252383       阿甘正传  1994\n",
       "3      美国     剧情,爱情,灾难   詹姆斯·卡梅隆   9.5  2291400      泰坦尼克号  1997\n",
       "4      日本     剧情,动画,奇幻       宫崎骏   9.4  2340342       千与千寻  2001\n",
       "..    ...          ...       ...   ...      ...        ...   ...\n",
       "245    美国     剧情,奇幻,冒险        李安   9.1  1399379   少年派的奇幻漂流  2012\n",
       "246    英国  剧情,传记,战争,音乐   罗曼·波兰斯基   9.3   679231        钢琴家  2002\n",
       "247  中国香港  喜剧,爱情,奇幻,古装       刘镇伟   9.0  1269688  大话西游之月光宝盒  1995\n",
       "248    美国  剧情,动作,奇幻,冒险    彼得·杰克逊   9.2   789952  指环王2：双塔奇兵  2002\n",
       "249    美国           剧情    马丁·布莱斯   9.1   934360      闻香识女人  1992\n",
       "\n",
       "[250 rows x 7 columns]"
      ],
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       "      <th>area</th>\n",
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       "      <th>0</th>\n",
       "      <td>美国</td>\n",
       "      <td>犯罪,剧情</td>\n",
       "      <td>弗兰克·德拉邦特</td>\n",
       "      <td>9.7</td>\n",
       "      <td>3022995</td>\n",
       "      <td>肖申克的救赎</td>\n",
       "      <td>1994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>中国大陆</td>\n",
       "      <td>剧情,爱情,同性</td>\n",
       "      <td>陈凯歌</td>\n",
       "      <td>9.6</td>\n",
       "      <td>2234573</td>\n",
       "      <td>霸王别姬</td>\n",
       "      <td>1993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>美国</td>\n",
       "      <td>剧情,爱情</td>\n",
       "      <td>罗伯特·泽米吉斯</td>\n",
       "      <td>9.5</td>\n",
       "      <td>2252383</td>\n",
       "      <td>阿甘正传</td>\n",
       "      <td>1994</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>美国</td>\n",
       "      <td>剧情,爱情,灾难</td>\n",
       "      <td>詹姆斯·卡梅隆</td>\n",
       "      <td>9.5</td>\n",
       "      <td>2291400</td>\n",
       "      <td>泰坦尼克号</td>\n",
       "      <td>1997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>日本</td>\n",
       "      <td>剧情,动画,奇幻</td>\n",
       "      <td>宫崎骏</td>\n",
       "      <td>9.4</td>\n",
       "      <td>2340342</td>\n",
       "      <td>千与千寻</td>\n",
       "      <td>2001</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "    <tr>\n",
       "      <th>245</th>\n",
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       "      <td>剧情,奇幻,冒险</td>\n",
       "      <td>李安</td>\n",
       "      <td>9.1</td>\n",
       "      <td>1399379</td>\n",
       "      <td>少年派的奇幻漂流</td>\n",
       "      <td>2012</td>\n",
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       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>英国</td>\n",
       "      <td>剧情,传记,战争,音乐</td>\n",
       "      <td>罗曼·波兰斯基</td>\n",
       "      <td>9.3</td>\n",
       "      <td>679231</td>\n",
       "      <td>钢琴家</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>中国香港</td>\n",
       "      <td>喜剧,爱情,奇幻,古装</td>\n",
       "      <td>刘镇伟</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1269688</td>\n",
       "      <td>大话西游之月光宝盒</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>美国</td>\n",
       "      <td>剧情,动作,奇幻,冒险</td>\n",
       "      <td>彼得·杰克逊</td>\n",
       "      <td>9.2</td>\n",
       "      <td>789952</td>\n",
       "      <td>指环王2：双塔奇兵</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>美国</td>\n",
       "      <td>剧情</td>\n",
       "      <td>马丁·布莱斯</td>\n",
       "      <td>9.1</td>\n",
       "      <td>934360</td>\n",
       "      <td>闻香识女人</td>\n",
       "      <td>1992</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>250 rows × 7 columns</p>\n",
       "</div>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 21
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T15:17:23.105289Z",
     "start_time": "2024-05-22T15:17:23.095282Z"
    }
   },
   "cell_type": "code",
   "source": "len(movies)",
   "id": "81704f68e69571c9",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "250"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 22
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T15:17:24.722580Z",
     "start_time": "2024-05-22T15:17:24.706028Z"
    }
   },
   "cell_type": "code",
   "source": "movies.info()",
   "id": "dbe4c0d83d1fd554",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 250 entries, 0 to 249\n",
      "Data columns (total 7 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   area      248 non-null    object \n",
      " 1   category  250 non-null    object \n",
      " 2   director  250 non-null    object \n",
      " 3   rate      250 non-null    float64\n",
      " 4   review    250 non-null    int64  \n",
      " 5   title     250 non-null    object \n",
      " 6   year      250 non-null    int64  \n",
      "dtypes: float64(1), int64(2), object(4)\n",
      "memory usage: 13.8+ KB\n"
     ]
    }
   ],
   "execution_count": 23
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T15:17:28.610337Z",
     "start_time": "2024-05-22T15:17:28.596739Z"
    }
   },
   "cell_type": "code",
   "source": "movies['year'] = movies['year'].astype('int')",
   "id": "acd7fc0e84f08c85",
   "outputs": [],
   "execution_count": 24
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T15:17:30.566563Z",
     "start_time": "2024-05-22T15:17:30.533696Z"
    }
   },
   "cell_type": "code",
   "source": [
    "movies = movies[movies['year'] >= 1990]\n",
    "movies"
   ],
   "id": "dc16060b97f4718b",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "     area     category  director  rate   review      title  year\n",
       "0      美国        犯罪,剧情  弗兰克·德拉邦特   9.7  3022995     肖申克的救赎  1994\n",
       "1    中国大陆     剧情,爱情,同性       陈凯歌   9.6  2234573       霸王别姬  1993\n",
       "2      美国        剧情,爱情  罗伯特·泽米吉斯   9.5  2252383       阿甘正传  1994\n",
       "3      美国     剧情,爱情,灾难   詹姆斯·卡梅隆   9.5  2291400      泰坦尼克号  1997\n",
       "4      日本     剧情,动画,奇幻       宫崎骏   9.4  2340342       千与千寻  2001\n",
       "..    ...          ...       ...   ...      ...        ...   ...\n",
       "245    美国     剧情,奇幻,冒险        李安   9.1  1399379   少年派的奇幻漂流  2012\n",
       "246    英国  剧情,传记,战争,音乐   罗曼·波兰斯基   9.3   679231        钢琴家  2002\n",
       "247  中国香港  喜剧,爱情,奇幻,古装       刘镇伟   9.0  1269688  大话西游之月光宝盒  1995\n",
       "248    美国  剧情,动作,奇幻,冒险    彼得·杰克逊   9.2   789952  指环王2：双塔奇兵  2002\n",
       "249    美国           剧情    马丁·布莱斯   9.1   934360      闻香识女人  1992\n",
       "\n",
       "[215 rows x 7 columns]"
      ],
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       "      <td>弗兰克·德拉邦特</td>\n",
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       "      <td>陈凯歌</td>\n",
       "      <td>9.6</td>\n",
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       "      <td>美国</td>\n",
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       "      <td>罗伯特·泽米吉斯</td>\n",
       "      <td>9.5</td>\n",
       "      <td>2252383</td>\n",
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       "      <th>3</th>\n",
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       "      <td>詹姆斯·卡梅隆</td>\n",
       "      <td>9.5</td>\n",
       "      <td>2291400</td>\n",
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       "      <th>4</th>\n",
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       "      <td>宫崎骏</td>\n",
       "      <td>9.4</td>\n",
       "      <td>2340342</td>\n",
       "      <td>千与千寻</td>\n",
       "      <td>2001</td>\n",
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       "      <th>...</th>\n",
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       "      <td>少年派的奇幻漂流</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>英国</td>\n",
       "      <td>剧情,传记,战争,音乐</td>\n",
       "      <td>罗曼·波兰斯基</td>\n",
       "      <td>9.3</td>\n",
       "      <td>679231</td>\n",
       "      <td>钢琴家</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>中国香港</td>\n",
       "      <td>喜剧,爱情,奇幻,古装</td>\n",
       "      <td>刘镇伟</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1269688</td>\n",
       "      <td>大话西游之月光宝盒</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>美国</td>\n",
       "      <td>剧情,动作,奇幻,冒险</td>\n",
       "      <td>彼得·杰克逊</td>\n",
       "      <td>9.2</td>\n",
       "      <td>789952</td>\n",
       "      <td>指环王2：双塔奇兵</td>\n",
       "      <td>2002</td>\n",
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       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>美国</td>\n",
       "      <td>剧情</td>\n",
       "      <td>马丁·布莱斯</td>\n",
       "      <td>9.1</td>\n",
       "      <td>934360</td>\n",
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       "      <td>1992</td>\n",
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       "<p>215 rows × 7 columns</p>\n",
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      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 25
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T15:17:35.311549Z",
     "start_time": "2024-05-22T15:17:35.294386Z"
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   },
   "cell_type": "code",
   "source": "len(movies)",
   "id": "cfb7a1be467e1f63",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "215"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 26
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T15:20:10.981717Z",
     "start_time": "2024-05-22T15:20:10.973129Z"
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   },
   "cell_type": "code",
   "source": "movies=movies.drop_duplicates()",
   "id": "5a38ec2c6ed46c",
   "outputs": [],
   "execution_count": 28
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T15:20:14.183414Z",
     "start_time": "2024-05-22T15:20:14.173893Z"
    }
   },
   "cell_type": "code",
   "source": "len(movies)",
   "id": "b7d81e8de42ae747",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "215"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 29
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T15:20:29.491872Z",
     "start_time": "2024-05-22T15:20:29.470285Z"
    }
   },
   "cell_type": "code",
   "source": "movies=movies.dropna()",
   "id": "3c068d5fc737471d",
   "outputs": [],
   "execution_count": 30
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T15:20:34.489156Z",
     "start_time": "2024-05-22T15:20:34.479437Z"
    }
   },
   "cell_type": "code",
   "source": "len(movies)",
   "id": "f2407b48bc117c35",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "215"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 31
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T15:27:09.895765Z",
     "start_time": "2024-05-22T15:27:09.872208Z"
    }
   },
   "cell_type": "code",
   "source": "movies.groupby('year').apply(lambda group: \"%.2f\" % group['rate'].mean())",
   "id": "5357cb402d5347c7",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "year\n",
       "1990    8.73\n",
       "1991    8.85\n",
       "1992    8.90\n",
       "1993    9.03\n",
       "1994    9.12\n",
       "1995    8.93\n",
       "1996    8.90\n",
       "1997    9.12\n",
       "1998    9.23\n",
       "1999    8.93\n",
       "2000    8.96\n",
       "2001    8.98\n",
       "2002    9.00\n",
       "2003    8.85\n",
       "2004    8.89\n",
       "2005    8.75\n",
       "2006    8.93\n",
       "2007    8.68\n",
       "2008    8.91\n",
       "2009    8.97\n",
       "2010    8.84\n",
       "2011    8.99\n",
       "2012    8.92\n",
       "2013    8.83\n",
       "2014    8.87\n",
       "2015    8.83\n",
       "2016    8.74\n",
       "2017    8.78\n",
       "2018    8.79\n",
       "2019    8.75\n",
       "2020    8.70\n",
       "2021    8.60\n",
       "dtype: object"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 39
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T15:32:31.079777Z",
     "start_time": "2024-05-22T15:32:31.059192Z"
    }
   },
   "cell_type": "code",
   "source": "movies.groupby('director')[\"rate\"].mean()",
   "id": "e8bf1dd0df195ed1",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "director\n",
       "Alfonso     9.00\n",
       "Chris       9.05\n",
       "Martin      8.90\n",
       "M·奈特·沙马兰    8.90\n",
       "Roger       9.10\n",
       "            ... \n",
       "马基德·马基迪     9.20\n",
       "鲍勃·佩尔西凯蒂    8.60\n",
       "黄东赫         9.40\n",
       "黄信尧         8.70\n",
       "黄建新         9.50\n",
       "Name: rate, Length: 148, dtype: float64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 40
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T15:37:27.616247Z",
     "start_time": "2024-05-22T15:37:27.592321Z"
    }
   },
   "cell_type": "code",
   "source": "movies.groupby('director').size()",
   "id": "e26d9b0ac04416a3",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "director\n",
       "Alfonso     1\n",
       "Chris       2\n",
       "Martin      1\n",
       "M·奈特·沙马兰    1\n",
       "Roger       1\n",
       "           ..\n",
       "马基德·马基迪     1\n",
       "鲍勃·佩尔西凯蒂    1\n",
       "黄东赫         1\n",
       "黄信尧         1\n",
       "黄建新         1\n",
       "Length: 148, dtype: int64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 43
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T15:54:20.585919Z",
     "start_time": "2024-05-22T15:54:20.311067Z"
    }
   },
   "cell_type": "code",
   "source": [
    "data = movies.groupby('year').size().rename(\"count\")\n",
    "sns.lineplot(data)"
   ],
   "id": "7a5954d9140f3192",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='year', ylabel='count'>"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 68
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T15:58:59.101475Z",
     "start_time": "2024-05-22T15:58:58.797063Z"
    }
   },
   "cell_type": "code",
   "source": [
    "data = movies[\"rate\"]\n",
    "sns.histplot(data, bins=10)"
   ],
   "id": "8646b36a46996a8d",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='rate', ylabel='Count'>"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 76
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T16:03:47.962385Z",
     "start_time": "2024-05-22T16:03:47.940018Z"
    }
   },
   "cell_type": "code",
   "source": [
    "movies1 = movies.copy()\n",
    "movies1[\"category\"]=movies1[\"category\"].apply(lambda x: x.split(\",\")[0])\n",
    "movies1"
   ],
   "id": "2695cfa031999b45",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "     area category  director  rate   review      title  year\n",
       "0      美国       犯罪  弗兰克·德拉邦特   9.7  3022995     肖申克的救赎  1994\n",
       "1    中国大陆       剧情       陈凯歌   9.6  2234573       霸王别姬  1993\n",
       "2      美国       剧情  罗伯特·泽米吉斯   9.5  2252383       阿甘正传  1994\n",
       "3      美国       剧情   詹姆斯·卡梅隆   9.5  2291400      泰坦尼克号  1997\n",
       "4      日本       剧情       宫崎骏   9.4  2340342       千与千寻  2001\n",
       "..    ...      ...       ...   ...      ...        ...   ...\n",
       "245    美国       剧情        李安   9.1  1399379   少年派的奇幻漂流  2012\n",
       "246    英国       剧情   罗曼·波兰斯基   9.3   679231        钢琴家  2002\n",
       "247  中国香港       喜剧       刘镇伟   9.0  1269688  大话西游之月光宝盒  1995\n",
       "248    美国       剧情    彼得·杰克逊   9.2   789952  指环王2：双塔奇兵  2002\n",
       "249    美国       剧情    马丁·布莱斯   9.1   934360      闻香识女人  1992\n",
       "\n",
       "[215 rows x 7 columns]"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>area</th>\n",
       "      <th>category</th>\n",
       "      <th>director</th>\n",
       "      <th>rate</th>\n",
       "      <th>review</th>\n",
       "      <th>title</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>美国</td>\n",
       "      <td>犯罪</td>\n",
       "      <td>弗兰克·德拉邦特</td>\n",
       "      <td>9.7</td>\n",
       "      <td>3022995</td>\n",
       "      <td>肖申克的救赎</td>\n",
       "      <td>1994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>中国大陆</td>\n",
       "      <td>剧情</td>\n",
       "      <td>陈凯歌</td>\n",
       "      <td>9.6</td>\n",
       "      <td>2234573</td>\n",
       "      <td>霸王别姬</td>\n",
       "      <td>1993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>美国</td>\n",
       "      <td>剧情</td>\n",
       "      <td>罗伯特·泽米吉斯</td>\n",
       "      <td>9.5</td>\n",
       "      <td>2252383</td>\n",
       "      <td>阿甘正传</td>\n",
       "      <td>1994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>美国</td>\n",
       "      <td>剧情</td>\n",
       "      <td>詹姆斯·卡梅隆</td>\n",
       "      <td>9.5</td>\n",
       "      <td>2291400</td>\n",
       "      <td>泰坦尼克号</td>\n",
       "      <td>1997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>日本</td>\n",
       "      <td>剧情</td>\n",
       "      <td>宫崎骏</td>\n",
       "      <td>9.4</td>\n",
       "      <td>2340342</td>\n",
       "      <td>千与千寻</td>\n",
       "      <td>2001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>美国</td>\n",
       "      <td>剧情</td>\n",
       "      <td>李安</td>\n",
       "      <td>9.1</td>\n",
       "      <td>1399379</td>\n",
       "      <td>少年派的奇幻漂流</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>英国</td>\n",
       "      <td>剧情</td>\n",
       "      <td>罗曼·波兰斯基</td>\n",
       "      <td>9.3</td>\n",
       "      <td>679231</td>\n",
       "      <td>钢琴家</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>中国香港</td>\n",
       "      <td>喜剧</td>\n",
       "      <td>刘镇伟</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1269688</td>\n",
       "      <td>大话西游之月光宝盒</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>美国</td>\n",
       "      <td>剧情</td>\n",
       "      <td>彼得·杰克逊</td>\n",
       "      <td>9.2</td>\n",
       "      <td>789952</td>\n",
       "      <td>指环王2：双塔奇兵</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>美国</td>\n",
       "      <td>剧情</td>\n",
       "      <td>马丁·布莱斯</td>\n",
       "      <td>9.1</td>\n",
       "      <td>934360</td>\n",
       "      <td>闻香识女人</td>\n",
       "      <td>1992</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>215 rows × 7 columns</p>\n",
       "</div>"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 79
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T16:09:11.589313Z",
     "start_time": "2024-05-22T16:09:11.180433Z"
    }
   },
   "cell_type": "code",
   "source": [
    "data = movies1.groupby(\"category\").size()\n",
    "plt.pie(data, labels=movies1['category'].unique(), autopct='%.2f%%')\n",
    "plt.show()"
   ],
   "id": "91cda2144a2ecf67",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 87
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": "",
   "id": "e32de897e0e9f1be"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
